Method for Estimating Learning Strategies from Tools Using Bayesian Network

Abstract

With the recent development of the robot technology, teacher robots will be introduced into educational settings to instruct learners. Such teacher robots, like human teachers, will be required not only to teach knowledge to learners, but also to monitor their learning process and motivate them. Positive learning attitudes can be ascertained by changing the learning strategy. The fact that learners change their learning strategies may indicate that they are making efforts to find an appropriate strategy. The learning strategies used by learners can be inferred from the tools they use to learn. Therefore, we propose a method to estimate learning strategies using Bayesian networks when learners change them.